Gespeichert in:
Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
[2019]
|
Ausgabe: | First edition. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781492051046/?ar |
Zusammenfassung: | Chaos engineering is a highly collaborative activity. When applied well, virtually everyone is responsible for exploring, surfacing, overcoming, and validating weaknesses in their systems. That can lead to a lot of chaos engineering activity across a collection of systems at any moment in time. How can you keep chaos engineering from becoming, well, too chaotic? One key technique is chaos observability. In this ebook, Russ Miles of ChaosIQ demonstrates how to bring your chaos experiments into the world of system observability. Chaos observability enables you to surface, debug, and even visualize chaos experiment activities across your system in real time and through time series recordings. You'll learn how chaos observability helps everyone in production be aware of chaos activities occurring within and across systems. Understand why it's imperative to make chaos engineering observable Learn how to bring chaos experiments and engineering into the overall system observability picture Make chaos observability actionable and difficult to ignore through alerts and Slack integration. |
Beschreibung: | Online resource; title from title page (Safari, viewed May 21, 2019) |
Umfang: | 1 Online-Ressource (1 volume) illustrations |
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spelling | Miles, Russ VerfasserIn aut Chaos engineering observability bringing chaos experiments into system observability Russ Miles First edition. Sebastopol, CA O'Reilly Media [2019] ©2019 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title page (Safari, viewed May 21, 2019) Chaos engineering is a highly collaborative activity. When applied well, virtually everyone is responsible for exploring, surfacing, overcoming, and validating weaknesses in their systems. That can lead to a lot of chaos engineering activity across a collection of systems at any moment in time. How can you keep chaos engineering from becoming, well, too chaotic? One key technique is chaos observability. In this ebook, Russ Miles of ChaosIQ demonstrates how to bring your chaos experiments into the world of system observability. Chaos observability enables you to surface, debug, and even visualize chaos experiment activities across your system in real time and through time series recordings. You'll learn how chaos observability helps everyone in production be aware of chaos activities occurring within and across systems. Understand why it's imperative to make chaos engineering observable Learn how to bring chaos experiments and engineering into the overall system observability picture Make chaos observability actionable and difficult to ignore through alerts and Slack integration. Information technology Management Electronic data processing Distributed processing Business enterprises Computer networks Management Technologie de l'information ; Gestion Traitement réparti Entreprises ; Réseaux d'ordinateurs ; Gestion Business enterprises ; Computer networks ; Management Electronic data processing ; Distributed processing Information technology ; Management |
spellingShingle | Miles, Russ Chaos engineering observability bringing chaos experiments into system observability Information technology Management Electronic data processing Distributed processing Business enterprises Computer networks Management Technologie de l'information ; Gestion Traitement réparti Entreprises ; Réseaux d'ordinateurs ; Gestion Business enterprises ; Computer networks ; Management Electronic data processing ; Distributed processing Information technology ; Management |
title | Chaos engineering observability bringing chaos experiments into system observability |
title_auth | Chaos engineering observability bringing chaos experiments into system observability |
title_exact_search | Chaos engineering observability bringing chaos experiments into system observability |
title_full | Chaos engineering observability bringing chaos experiments into system observability Russ Miles |
title_fullStr | Chaos engineering observability bringing chaos experiments into system observability Russ Miles |
title_full_unstemmed | Chaos engineering observability bringing chaos experiments into system observability Russ Miles |
title_short | Chaos engineering observability |
title_sort | chaos engineering observability bringing chaos experiments into system observability |
title_sub | bringing chaos experiments into system observability |
topic | Information technology Management Electronic data processing Distributed processing Business enterprises Computer networks Management Technologie de l'information ; Gestion Traitement réparti Entreprises ; Réseaux d'ordinateurs ; Gestion Business enterprises ; Computer networks ; Management Electronic data processing ; Distributed processing Information technology ; Management |
topic_facet | Information technology Management Electronic data processing Distributed processing Business enterprises Computer networks Management Technologie de l'information ; Gestion Traitement réparti Entreprises ; Réseaux d'ordinateurs ; Gestion Business enterprises ; Computer networks ; Management Electronic data processing ; Distributed processing Information technology ; Management |
work_keys_str_mv | AT milesruss chaosengineeringobservabilitybringingchaosexperimentsintosystemobservability |